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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Laurence A. Boss Nigel H. Lovell Michael C. Stevens Graduate School of Biomedical Engineering Faculty of Engineering University of New South Wales Sydney NSW Australia

Accurate assessment of myocardial recovery (MR) under left ventricular assist device (LVAD) support is essential for clinicians to manage heart failure patients. However, current techniques for assessing MR are time-consuming, invasive, and infrequent. Measuring MR using indices derived from LVAD operating data instead provides a potential real-time alternative. Several of these indices for assessing the MR of LVAD-supported heart failure patients were collated from the literature and subject to a comprehensive comparative analysis. The objective of this analysis was to determine the most accurate index for assessing systolic cardiac function under LVAD-support, characterized by maximal end-systolic elastance (E max ), while remaining insensitive to preload & afterload. The indices were compared in computational simulation, utilizing an LVAD + cardiovascular system model to sweep through a large array of E max and resistance conditions. Results demonstrated the index that correlated best with E max , showing the highest accuracy, was the ratio between maximum flow acceleration and flow pulsatility (average R 2 =0.9790). The same index also exhibited the lowest % variation (sensitivity) to preload & afterload (1.32% & 13.53% respectively). However, opportunities for improvement remain among current recovery assessment indices, with this study providing a baseline of performance for potential future indices to improve *** relevance— This study presents a potential real-time measure of native cardiac function in LVAD-supported heart failure patients to support patient management and further recovery.

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Mesenchymal stromal cell-derived small extracellular vesicles modulate macrophage polarization and enhance angio-osteogenesis to promote bone healing

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Genes & Diseases 2022年第4期9卷 841-844页

作者： Shang Jiunn Chuah Chee Weng Yong Kristeen Ye Wen Teo Jacob Ren Jie Chew Yi Ann Cheow Shipin Zhang Raymond Chung Wen Wong Asher Ah Tong Lim Sai Kiang Lim Wei Seong Toh Faculty of Dentistry National University of Singapore119085Singapore Institute of Molecular and Cell Biology Agency for ScienceTechnology and Research138648Singapore Department of Orthopaedic Surgery Yong Loo Lin School of MedicineNational University of Singapore119288Singapore Department of Biomedical Engineering Faculty of EngineeringNational University of Singapore117583Singapore Tissue Engineering Program Life Sciences InstituteNational University of Singapore117456Singapore Integrative Sciences and Engineering Program NUS Graduate SchoolNational University of Singapore119077Singapore

Mesenchymal stem/stromal cells(MSCs)have demonstrated therapeutic efficacy for bone regeneration in animal and clinical *** MSCs were initially thought to differentiate to various cell types to replace the injured/diseased tissue,it is now accepted that these cells secrete factors to promote tissue repair.1 Among these factors,small extracellular vesicles(sEVs)of size 50–200 nm,which include the exosomes,have been identified as the principal agent mediating the wide-ranging therapeutic efficacy of MSCs.2 Several studies have also reported the therapeutic effects of MSC-sEVs to enhance bone repair in animal models,as recently reviewed.3 However,the cellular processes and mechanisms mediated by MSC-sEVs in bone regeneration remain to be fully elucidated.

关键词： healing clinical macrophage

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Microenvironmental regulation of stem cells injected in the area at risk of neurodegenerative diseases

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BIOCELL 2022年第10期46卷 2231-2234页

作者： JU HYUNG LEE IL-KWON KIM SANG WOO KIM SOYEON LIM SEAHYOUNG LEE KI-CHUL HWANG BYEONG-WOOK SONG Graduate Program of Biomedical Engineering Yonsei UniversitySeoul03722Korea Institute for Bio-Medical Convergence College of MedicineCatholic Kwandong UniversityGangwon-do25601Korea Department for Medical Science College of MedicineCatholic Kwandong UniversityGangwon-do25601Korea

The complex mechanism of degenerative diseases and the non-specific modulation of regenerative targets aretopics that need to be elucidated in order to advance the use of stem cells in improvement of neurodegenerative *** pre-transplantation through post-transplantation, there are many changes in the conditions, both inside andoutside of the stem cells that have not been carefully considered. This has hindered development in the field of celltherapy and regeneration. This viewpoint highlights the potential implications of intracellular and extracellularalterations of stem cells in transplanted areas at risk of neurodegenerative disease.

关键词： Cell therapy Microenvironment Neurodegenerative disease Stem cells

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Monitoring Industrial Systems Using ESP-NOW Protocol with Mesh and Ad Hoc Network

Monitoring Industrial Systems Using ESP-NOW Protocol with Me...

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IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Lucas Henrique Brito Santos Eduardo José Monteiro Da Silva Aleqssandro Alexandre De Oliveira Farias Jhennifer Freitas Dos Santos Iago Ranieri Miranda Rodrigues Morais Wellington Da Silva Fonseca Marcelo De Oliveira e Silva Faculty of Electrical and Biomedical Engineering Federal University of Pará Belém Brazil Electrical Engineering Graduate Program Federal University of Pará Belém Brazil Mechanical Engineering Graduate Program Federal University of Pará Belém Brazil

Nowadays, industrial processes are creating increasing demands for optimized and efficient sensing systems and require high reliability and a short time interval for information delivery. This paper presents an embedded sensor system that uses the ESP-NOW protocol with a Mesh and Ad Hoc network, in order to provide an auto mesh configuration upon failure at some point in the network. This system was implemented to monitor the variables of an induction motor, after which, before sending the data to the cloud, local processing is performed to reduce the volume of data. Finally, a computer simulation of the WROOM-32 module is performed for a thermal analysis during its operation, where the heating points of the plate are identified and analyzed, in order to validate that the system, even processing a large amount of data, maintains a high reliability during its operation.

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Methodology for the Validation of Competencies and Skills Associated with the Safe Use of biomedical Technology at the University Hospital Fundación Valle Del Lili 3

Methodology for the Validation of Competencies and Skills As...

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3rd International Congress of biomedical engineering and Bioengineering, CIIBBI 2024

作者： De La Cruz Lopez, Daniel Ernesto Medina, Stephanie Ordonez Gaviria, Lorena Ortiz Biomedical Engineering Program Universidad Autónoma de Occidente Valle del Cauca Santiago de Cali Colombia Hospital Universitario Fundación Valle Del Lili Valle del Cauca Santiago de Cali Colombia

ISBN: (纸本)9798331532352

This project presents the development of a methodology for validating competencies and skills associated with the safe use of biomedical technology for healthcare personnel at the University Hospital Fundación Valle del Lili. In this project, a methodology was developed for validating the competencies and skills associated with the safe use of biomedical technology by medical and healthcare personnel at the University Hospital Fundación Valle del Lili. The aim was to strengthen the training program, contribute to patient safety, and reduce the incidence of reports associated with the incorrectly use of biomedical equipment. Initially, a diagnosis and analysis of the training program were carried out. Based on the findings, the most appropriate method for evaluating the impact of training on medical and healthcare personnel was determined, and the methodology was designed. Subsequently, the biomedical equipment and personnel profiles were selected through statistical sampling, and the methodology was applied in a pilot test. Finally, the results were shared with the institution, and a procedure was developed to implement the methodology as an institutional policy. © 2024 IEEE.

关键词： Diagnosis

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Intrinsic Stochastic Fluorescence Spectra and Photophysical Parameters of Nucleic Acids under Visible Light Illumination

Intrinsic Stochastic Fluorescence Spectra and Photophysical ...

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Optics and the Brain, BRAIN 2023 - Part of Optica Biophotonics Congress: Optics in the Life Sciences 2023

作者： Gong, Ruyi Almassalha, Luay Backman, Vadim Department of Biomedical Engineering Northwestern University EvanstonIL60208 United States Medical Scientist Training Program Feinberg School of Medicine Northwestern University EvanstonIL60611 United States

The spectra and photophysical parameters of DNA molecules under visible light illumination of different wavelengths are measured for the first time, which may lead to a new label-free super-resolution imaging techniqu... 详细信息

ISBN: (纸本)9781957171210

关键词： Emission Illumination Imaging techniques Optical microscopy Spectroscopy Visible light

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Using textile capacitive sensors to train synchronized movement of hands

Using textile capacitive sensors to train synchronized movem...

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2024 IEEE International Conference on Consumer Electronics, ICCE 2024

作者： Yang, Chang-Ming Wu, Shu-Cing Chen, Shih-Hung Wu, Ze-We Liao, Kuo-Cheng Chen, Chi-Chun Ming Young Biomedical Corp. Miaoli Taiwan National Chin-Yi University of Technology Program Prospective Technology of Electrical Engineering and Computer Science Taichung Taiwan National Chin-Yi University of Technology Dept. of Computer Science and Information Engineering Taichung Taiwan National Chin-Yi University of Technology Dept. of Electronic Engineering Taichung Taiwan

ISBN: (纸本)9798350324136

This study introduced a capacitive sensing interactive game platform aimed at promoting emotional stability, which we have named the 'Sunrise and Sunset' game. This game primarily consists of two pieces of regular textile fabric enveloping conductive silver fabric. A microcontroller was employed to extract the sensed capacitive values, and a game named 'Sunrise and Sunset' is designed to complement the slow raising and lowering of both hands. The development of this gaming platform has the potential to offer a novel method of emotional management, particularly in high-stress living environments. It can serve as an effective relaxation tool, aiding individuals in emotional balance, anxiety reduction, and stress alleviation. Simultaneously, this platform can contribute to the promotion of mental well-being, providing an engaging and beneficial means for people to manage their emotions and moods. © 2024 IEEE.

关键词： capacitive sensing emotional stability game relaxation tool silver fabric

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Spatial Selection Configuration on EEG Stroke Signal 1

Spatial Selection Configuration on EEG Stroke Signal

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1st International Conference on Information System and Information Technology, ICISIT 2022

作者： Firdaus, Fulki Hapsari, Anggit Fauzi, Hilman Shapiai, Ibrahim Fuadah, Yunendah Telkom University Telecommunication Engineering Study Program Faculty of Electrical Engineering Bandung Indonesia Telkom University Biomedical Engineering Study Program Faculty of Electrical Engineering Bandung Indonesia Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia Electrical System Engineering Kuala Lumpur Malaysia

ISBN: (数字)9781665402002

ISBN: (纸本)9781665402002

Stroke is one of the cerebrovascular health disorders caused by a blockage of blood flow to the brain. Data from South East Asian Medical Information Center (SEAMIC) explain that the most significant stroke mortality occurred in Indonesia, Philippines, Singapore, Brunei, Malaysia, and Thailand. There are several methods for diagnosing stroke, one of which is an electroencephalograph (EEG). EEG is one of the more widely used BCI methods due to its lower price, portability, ease of use, and high temporal resolution than other methods. Most EEG require signals from various places on the scalp to achieve good performance. However, using a large number of channels can degrade signal performance in the EEG. Spatial selection can be used for channel selection in the EEG stroke signal which can then be useful for evaluation of stroke therapy. Therefore, this study will select the optimized channel using the spatial selection method to see which channels are relevant to the EEG stroke signal. Also, using the Power Spectral Density extraction feature and Extreme Learning Machine classification. The L2-norm energy calculation method gets better results than other methods. This method can also select the active channel relevant to the stroke EEG signal. The results show that the spatial selection method can increase accuracy by 15 percent and optimize the system with 37.5 percent channel reductions. © 2022 IEEE.

关键词： Learning systems

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The role of input imaging combination and ADC threshold on segmentation of acute ischemic stroke lesion using U-Net

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European Radiology 2023年第9期33卷 6157-6167页

作者： Li, Ya-Hui Lin, Shao-Chieh Chung, Hsiao-Wen Chang, Chia-Ching Peng, Hsu-Hsia Huang, Teng-Yi Shen, Wu-Chung Tsai, Chon-Haw Lo, Yu-Chien Lee, Tung-Yang Juan, Cheng-Hsuan Juan, Cheng-En Chang, Hing-Chiu Liu, Yi-Jui Juan, Chun-Jung Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan Department of Medical Imaging China Medical University Hsinchu Hospital No. 199 Sec. 1 Xinglong Rd. Zhubei City Hsinchu County 302 Hsinchu Taiwan Ph.D. Program in Electrical and Communication Engineering Feng Chia University Taichung Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Department of Management Science National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University Hsinchu Taiwan Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Radiology School of Medicine College of Medicine China Medical University Taichung Taiwan Department of Medical Imaging Medical University Hospital Taichung Taiwan Department of Neurology China Medical University Hospital Taichung Taiwan Cheng Ching Hospital Taichung Taiwan Master’s Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Department of Automatic Control Engineering Feng Chia University No. 100 Wenhwa Rd. Seatwen Taichung 40724 Taiwan Department of Biomedical Engineering The Chinese University of Hong Kong ERB1112 11/F William M.W. Mong Engineering Building N.T Shatin Hong Kong Multi-Scale Medical Robotics Center The Chinese University of Hong Kong N.T Shatin Hong Kong Department of Biomedical Engineering National Defense Medical Center Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan

Background: To evaluate the effect of the weighting of input imaging combo and ADC threshold on the performance of the U-Net and to find an optimized input imaging combo and ADC threshold in segmenting acute ischemic stroke (AIS) lesion. Methods: This study retrospectively enrolled a total of 212 patients having AIS. Four combos, including ADC-ADC-ADC (AAA), DWI-ADC-ADC (DAA), DWI-DWI-ADC (DDA), and DWI-DWI-DWI (DDD), were used as input images, respectively. Three ADC thresholds including 0.6, 0.8 and 1.8 × 10^–3 mm²/s were applied. Dice similarity coefficient (DSC) was used to evaluate the segmentation performance of U-Nets. Nonparametric Kruskal–Wallis test with Tukey–Kramer post-hoc tests were used for comparison. A p <.05 was considered statistically significant. Results: The DSC significantly varied among different combos of images and different ADC thresholds. Hybrid U-Nets outperformed uniform U-Nets at ADC thresholds of 0.6 × 10^–3 mm²/s and 0.8 × 10^–3 mm²/s (p <.001). The U-Net with imaging combo of DDD had segmentation performance similar to hybrid U-Nets at an ADC threshold of 1.8 × 10^–3 mm²/s (p =.062 to 1). The U-Net using the imaging combo of DAA at the ADC threshold of 0.6 × 10^–3 mm²/s achieved the highest DSC in the segmentation of AIS lesion. Conclusions: The segmentation performance of U-Net for AIS varies among the input imaging combos and ADC thresholds. The U-Net is optimized by choosing the imaging combo of DAA at an ADC threshold of 0.6 × 10^–3 mm²/s in segmentating AIS lesion with highest DSC. Key Points: • Segmentation performance of U-Net for AIS differs among input imaging combos. • Segmentation performance of U-Net for AIS differs among ADC thresholds. • U-Net is optimized using DAA with ADC = 0.6 × 10^–3mm²/s. © 2023, The Author(s), under exclusive licence to European Society of Radiology.

关键词： Deep Learning Diffusion Magnetic Resonance Imaging Ischemic Stroke Neural Networks, Computer Retrospective Study

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CNN-LSTM Proposal for Colombian Sign Language Greetings Classification: Preliminary Results 3

CNN-LSTM Proposal for Colombian Sign Language Greetings Clas...

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3rd International Congress of biomedical engineering and Bioengineering, CIIBBI 2024

作者： Rojas, Ivette Sierra, Katherin Tocora, Angelica Maria Rojas Calderon, Luis Buitrago, Natalia Orjuela-Canon, Alvaro D. Biomedical Engineering Program Universidad Del Rosario - Escuela Colombiana de Ingeniería Julio Garavito D.C. Bogota Colombia School of Medicine and Health Sciences Universidad Del Rosario D.C. Bogota Colombia

ISBN: (纸本)9798331532352

Colombian sign language (CSL) have shown different advances to automatize the translation and communication between deaf or disabling hearing people and speakers. However, these current efforts are oriented on classification of static signs, mainly. The present proposal implements the use a convolutional neural network (CNN) that also involves the use an architecture of the long short-term memory (LSTM) one. This allowed to include the time dependent information for dynamic signs like a sequence data. For this, a dataset was created with greetings for the CSL through the recording videos of signs. The methodology used the MediaPipe tool for feature extraction, which was used to represent relevant points from fingers articulation for frames of the videos. CNN-LSTM was applied with the joint points information for the classification. Results show that 71.50 % (+/-4.33%) for five greetings classification, employing a crossvalidation and early stopping criteria for the training of models. © 2024 IEEE.

关键词： Convolutional neural networks

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